Moving to a millimeter wave (mmWave) spectrum in range of 30-300 GHz enables the utilization of multi-gigahertz bandwidth and offers an order of magnitude increase in achievable rate. The small wavelength allows a large number of antennas to be packed into transceivers with very small antenna spacing. Leveraging the large antenna arrays, mmWave systems can manipulate directional beamforming to produce high beamforming gain, which helps overcome large free-space pathloss of mmWave signals.
Effective February 2015, WNCG is pleased to announce the introduction of a new Level III membership option in its Industrial Affiliate Program. The Industrial Affiliate Program allows companies to become stakeholders in WNCG and to participate in the growth and direction of the center. Initially founded to significantly lower the cost of pre-competitive research for each sponsor, the program maximizes benefits to each sponsoring company.
In recognition of his outstanding performance as a summer intern, Qualcomm awarded WNCG Ph.D. student Tianyang Bai the Roberto Padovani Fellowship.
The fellowship was created in 2008 to recognize Qualcomm’s corporate research and development interns who demonstrate superior technical performance during their summer internship. Roberto Padovani was Qualcomm’s chief technology officer for nearly 10 years and was a leading innovator for the company.
Modern communication systems rely on multiple antennas that enhance the performance of network links using a series of techniques known as Multiple Input Multiple Output (MIMO). However, new technology is needed to meet the demands of a rapidly increasing number of wireless devices and enable the next generation of cellular systems. Known as Massive MIMO, this adaptation of traditional MIMO techniques presents challenges to research and development teams worldwide.
Coordination among base stations (BS) is a powerful approach for mitigating inter-cell interference and maximizing the sum spectral efficiency in cellular systems. In practice, however, coordination with a large number of BS may not be feasible due to excessive overheads associated with BS coordination, e.g., complexity, channel estimation and channel feedback. One practical solution for implementing multi-cell coordination is, therefore, to form a BS cluster so that a limited number of BS are coordinated to control intra-cluster interference with a reasonable amount of overhead.
Existing cellular network analyses, and even simulations, typically use the standard path loss model where received power decays 1/d^x over a distance d, with a pathloss exponent x. This model leads to tractable analysis of downlink cellular network performance with base stations distributed by a Poisson point process. However, it is widely known that this standard path loss model is quite idealized, and that in most scenarios the path loss exponent x is itself a function of d.